Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC).

Autor: Hopper JL; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia. j.hopper@unimelb.edu.au., Dite GS; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia., MacInnis RJ; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia., Liao Y; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA., Zeinomar N; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA., Knight JA; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada., Southey MC; Department of Pathology, Genetic Epidemiology Laboratory, The University of Melbourne, Parkville, VIC, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, CA, VIC 3168, USA., Milne RL; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia., Chung WK; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.; Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA., Giles GG; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia., Genkinger JM; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA., McLachlan SA; Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville, VIC, Australia.; Department of Medical Oncology, St Vincent's Hospital, Fitzroy, VIC, Australia., Friedlander ML; Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia.; Department of Medical Oncology, Prince of Wales Hospital, Randwick, NSW, Australia., Antoniou AC; Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK., Weideman PC; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia., Glendon G; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada., Nesci S; Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia., Andrulis IL; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.; Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada., Buys SS; Department of Medicine and Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT, USA., Daly MB; Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA., John EM; Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA., Phillips KA; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.; Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia., Terry MB; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA. mt146@cumc.columbia.edu.; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA. mt146@cumc.columbia.edu.
Jazyk: angličtina
Zdroj: Breast cancer research : BCR [Breast Cancer Res] 2018 Nov 03; Vol. 20 (1), pp. 132. Date of Electronic Publication: 2018 Nov 03.
DOI: 10.1186/s13058-018-1056-1
Abstrakt: Background: The association between body mass index (BMI) and risk of breast cancer depends on time of life, but it is unknown whether this association depends on a woman's familial risk.
Methods: We conducted a prospective study of a cohort enriched for familial risk consisting of 16,035 women from 6701 families in the Breast Cancer Family Registry and the Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer followed for up to 20 years (mean 10.5 years). There were 896 incident breast cancers (mean age at diagnosis 55.7 years). We used Cox regression to model BMI risk associations as a function of menopausal status, age, and underlying familial risk based on pedigree data using the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), all measured at baseline.
Results: The strength and direction of the BMI risk association depended on baseline menopausal status (P < 0.001); after adjusting for menopausal status, the association did not depend on age at baseline (P = 0.6). In terms of absolute risk, the negative association with BMI for premenopausal women has a much smaller influence than the positive association with BMI for postmenopausal women. Women at higher familial risk have a much larger difference in absolute risk depending on their BMI than women at lower familial risk.
Conclusions: The greater a woman's familial risk, the greater the influence of BMI on her absolute postmenopausal breast cancer risk. Given that age-adjusted BMI is correlated across adulthood, maintaining a healthy weight throughout adult life is particularly important for women with a family history of breast cancer.
Databáze: MEDLINE
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